Learn how to design and implement applications for extreme
scale systems, including analyzing and understanding the performance of
applications, the primary causes of poor performance and scalability, and how
both the choice of algorithm and programming system impact achievable
performance.The course covers multi-and
many-core processors, interconnects in HPC systems, parallel I/O, and the
impact of faults on program and algorithm design.

This semester-long course is offered to students who are
interested in learning how to use visualization to analyze large scale
scientific data sets. This course will also be of interest to students who are
considering scientific visualization as a research topic for their advanced
studies. The desired audience will be graduate students who are majoring in
computer science, or areas related to computational sciences. Students are
expected to be able to program in C or C++. Prior experience in parallel
programming is a plus.